where \(w_{r}^{k}\)  is the loss weight term of \(r^{th}\)  region proposal to reduce the noise of supervision and the same as [1]}. \(y_{c r}^{k}\)  is the pseudo grouth truth information for class \(c\)  from the \((k-1)^{th}\)  classifier, and \(x_{c r}^{R k}\)  indicates the prediction score of \(r^{th}\)  region proposal for class \(c\)  in the \(k^{th}\)  refinement branch.
